Principal Engineer Privacy

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will identify and address critical security gaps in infrastructure and services. You will define data security strategy, represent security engineering across the organization and at industry events, attract technical talent, and communicate data security priorities to senior leaders.

Requirements

  • 10+ years of experience in data security or related areas
  • Expertise in at least two data security domains
  • 15+ years building highly available large-scale distributed systems
  • Leadership experience across functional and organizational lines
  • Communication skills for explaining data security to senior leaders
  • Master's or Ph.D. in Computer Science or a related field

Responsibilities

  • Identify and address security gaps in infrastructure and services
  • Attract technical talent
  • Represent security engineering across the organization
  • Represent the organization at academic and industry conferences and events
  • Define strategy for data security, privacy, trust, and safety

Benefits

  • Annual performance bonus
  • Equity
Principal Engineer Privacy at Databricks | JobStash